Last refreshed 2026-06-15. Next refresh: weekly.
Why use MiniMax M2.5 on NVIDIA NIM?
NVIDIA NIM offers MiniMax M2.5 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare MiniMax M2.5 across 5 providers to find the best fit for your use caseInput / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: minimaxai/minimax-m2.5Model ID
minimaxai/minimax-m2.5Request example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
minimaxai/minimax-m2.5.Gotchas
- Use provider model ID "minimaxai/minimax-m2.5", not the LLMReference slug "minimax-m2.5".
Compare MiniMax M2.5 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| Together AI | $0.30 | $1.20 |
| OpenRouter | $0.15 | $1.15 |
| Vercel AI Gateway | $0.30 | $1.20 |
| Novita AI | $0.30 | $1.20 |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
Capabilities
Structured Outputs
About MiniMax M2.5
MiniMax: MiniMax M2.5 (free) available via OpenRouter. Pricing: $null/1M input, $null/1M output.
FAQ
What is the context window for MiniMax M2.5 on NVIDIA NIM?
MiniMax M2.5 supports a 197k token context window on NVIDIA NIM.
How does NVIDIA NIM compare to other MiniMax M2.5 providers?
MiniMax M2.5 is available from 5 providers. The cheapest input pricing is $0.15/1M tokens from OpenRouter.
What API model ID do I use for MiniMax M2.5 on NVIDIA NIM?
Use the model ID minimaxai/minimax-m2.5 when calling NVIDIA NIM's API.
Who created MiniMax M2.5?
MiniMax M2.5 was created by MiniMax as part of the MiniMax M2 model family.
Is MiniMax M2.5 open source?
MiniMax M2.5 is open source under MIT according to the seed data.
Model Specs
Released2025-03-01
Parameters230B (10B active)
Context197k
ArchitectureDecoder Only